Facial Recognition Technology
Humans have always had the innate ability to recognise and distinguish between faces, yet computers only recently have shown the same ability.
Computer facial recognition can be traced back in the mid 1960s, scientists began work on using the computer to recognise human faces. Since then, facial recognition software has come a long way.
Facial recognition technology is the process of identifying or verifying the identity of a person using their face.
It captures, analyses, and compares patterns based on the person's facial details.
The process entails identifying or checking the identity of individuals in just a few seconds based on their facial features such as: spacing of the eyes, bridge of the nose, the contour of the lips, ears, chin, etc.
Unlike many other biometric systems, facial recognition can be used for general surveillance in combination with public video cameras, and it can be used in a passive way that doesn’t require the knowledge, consent, or participation of the subject.
It may sound scary for some people, but the reality is that we’re already using it with high-quality cameras in mobile devices that have made facial recognition a viable option for authentication as well as identification.
If you are using Apple’s iPhone X and Xs you’re already using this technology, for example, include Face ID technology that lets users unlock their phones with a faceprint mapped by the phone's camera.
There's visibile benefits from this technology, Some of the benefits of facial recognition technology are better security, improved retail shopping and banking, and more.
But face recognition data can be prone to error, which can implicate people for crimes they haven’t committed if is deployed to government agencies.
How Facial Recognition Technology Works:
2. The face capture process transforms analogue information (a face) into a set of digital information (data) based on the person's facial features.
3. The face match process verifies if two faces belong to the same person.
Mass surveillance concerns, perceived invasion of privacy, inherent bias risk and general lack of understanding of the use cases for the technology are among the main social and political concerns in relation to FRT. Much of the concerns relate to trust.
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